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Tromsø Recommendations outreach Email-a-thon: Join us online in early November!

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    Dear LDIG members,
    We are writing to invite you to join us for an online synchronous email-a-thon to publicize the Tromsø Recommendations for the Citation of Research Data in Linguistics to linguistics journal editors!
    As you know, editors of linguistics journals hold a lot of power when it comes to setting and maintaining standards for good data practices in research and scholarly publications. The Tromsø Recommendations are a tool that editors can use to encourage appropriate data citation in the articles they publish. The problem is that many editors don’t know about the Tromsø Recommendations yet…so let’s tell them! (Information about the Tromsø Recommendations is provided at the bottom of this email)
    During two days in early November, we will host two-hour Zoom meetings where you can join us in writing to the editors of your favorite linguistics journals. We have already created some email templates to use, and we are currently assembling a list of the top journals in our field that will be available to you during the Email-a-thons. Please mark your calendars now:
    Tuesday, November 1, 17:00-19:00 UTC (best if you are in Europe, Americas, or Africa)

    Find corresponding day/time in your city

    Los Angeles: 10:00-12:00

    New York: 13:00-15:00

    Rio de Janeiro: 14:00-16:00

    London: 17:00-19:00

    Paris: 18:00-20:00

    Cape Town: 19:00-21:00

    Thursday November 3, 5:00-7:00 UTC  (best if you are in Africa, Asia, Australia, or the Pacific)

    Find corresponding day/time in your city

    Cape Town: 7:00-9:00

    Nairobi: 8:00-10:00

    Singapore: 13:00-15:00

    Tokyo: 14:00-16:00 

    Sydney: 16:00-18:00 

    Honolulu: 19:00-21:00 (Wednesday November 2)

    Zoom meeting link:
    Meeting ID: 960 8354 3716
    Passcode: 501202
    Please set aside some time to join us in our efforts to publicize the Tromsø Recommendations and educate journal editors about this useful tool for authors. Please let us know if you have any questions, and we look forward to seeing you online!
    Helene N. Andreassen, Andrea Berez-Kroeker and Lindsay Ferrara
    Co-Chairs, Linguistic Data Interest Group
    Research Data Alliance
    About the Tromsø Recommendations
    Language and linguistics datasets are often not cited, or cited imprecisely, because of confusion surrounding the proper methods for citing them. For the use of researchers and scholars in the field working with datasets, we propose components of data citation for referencing language data, both in the bibliography and in the text of linguistics publications. 
    The intended audience for these recommendations consists of i) academic publishers, ii) resource providers (e.g. repositories, archives), iii) researchers citing data, and iv) researchers making data management plans, developing and depositing data, and preparing metadata. Academic publishers will have the opportunity to add these recommendations to their author guidelines for citation. Resource providers will learn which metadata and citation elements are crucial in order for data to be properly citable. Researchers using data in their publication will know how to cite these data in case publisher guidelines are underspecified. Researchers depositing data in a repository will know more about what metadata they should provide in order to publish their data so as to make them citable.
    As each journal may have its own stylistic conventions, we do not address specific formats or citation styles, but rather elements of citations; however, for journals or repositories seeking to update their data citation guidance, we hope this document will be helpful. Furthermore, these recommendations are intended to be only guidelines, as we cannot account for every possibility here. This guidance is based on the Austin Principles, the FORCE11 and Research Data Alliance Joint Declaration of Data Citation Principles, and the Reproducible Research in Linguistics position statement. 
    These recommendations were endorsed as a Supporting Output of the Research Data Alliance in 2020.

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